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Articles

Re-administration of AAV-mediated gene therapy for OTOF -related deafness: a single-arm trial

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By Longlong Zhang, Ziwen Gao, Ping Yang, Daqi Wang, Hongbing Yu, Qi Cao, Luoying Jiang, Xiaoyun Chen, Xin Zhang, Xiaoting Cheng, Liheng Chen, Jiake Zhong, Jun Lv, Wei Wang, Liling Dai, Ziyi Zhou, Yuxin Chen, Biyun Zhu, Shaowei Hu, Honghai Tang, Zheng-Yi Chen, Wuqing Wang, Bing Chen, Huawei Li, Yilai Shu, Xintai Fan, Linjie Shi
| Nature Verified
Abstract Re-administration of adeno-associated virus (AAV)-mediated gene therapy remains challenging due to neutralizing antibodies (NAbs) induced by the initial dose. We previously conducted a single-arm trial showing that single-dose administration of AAV-hOTOF gene therapy in individuals with OTOF-related deafness is safe and leads to hearing improvements.
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Multicentre gene therapy for OTOF -related deafness followed up to 2.5 years

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By Xiaoting Cheng, Jun Lv, Yuxin Chen, Xiaoyun Chen, Rongqun Zhai, Liqin Zhang, Yiling Zhang, Juhong Zhang, Di Deng, Zhicheng Huang, Qi Cao, Xin Zhang, Daqi Wang, Yizhe Wang, Liheng Chen, Sha Yu Verified, Luo Guo, Bowen Zhang, Hui Wang, Yi Zhou, Liling Dai, Wei Wang, Longlong Zhang, Yanbo Yin, Guiqing Cheng, Ziyi Zhou, Wuqing Wang, Bing Chen, Wei Lu, Zhiqiang Gao, Dazhi Shi, Yuanping Xiong, Yu Zhao, Wei Yuan, Qin Wang, Guodong Feng, Huawei Li, Zheng-Yi Chen, Yilai Shu, Luoying Jiang, Hongqun Jiang
| Nature Verified
Abstract Autosomal recessive deafness 9, caused by OTOF gene mutations, is characterized by severe-to-complete congenital deafness1. Although gene therapy has shown benefits in a small number of patients2,3,4,5, its safety and efficacy across broader age ranges and longer follow-up periods, as well as predictors of treatment outcomes, remain unclear.
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Identifying early key influencing factors of positive results in the early screening for postpartum depression with interpretable machine learning

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By Shusen Lin, Yan Wang, Xuefei Han, Xiaojing Wang, Yanxia zhang, Wanyu Xu, Meiyu Chen, Xiaobing Xu, Huawei Li
| Frontiers in Public Health Verified
Abstract Objective: Based on social ecosystem theory, this study explores the early key factors associated with postpartum depressive symptoms from multiple dimensions, and analyzes them using interpretable machine learning algorithms. Methods: This was a short-term longitudinal study.
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